Statistician Lead (Underfill Statistician Senior)

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Please note: This position may be filled at the title of Statistician Lead or Statistician Senior, depending on level of expertise, education and years of experience. The salary range for the Lead level position is $88,000 - $105,000, and the salary range for the Senior level position is $75,000 - $87,000.

The Institute for Firearm Injury Prevention is a transdisciplinary institute that works to engage the breadth of expertise across the University of Michigan, with input from nonacademic stakeholders, to generate knowledge and advance solutions that will decrease firearm injury in the United States. The Institute also serves as a national hub for research that will drive new solutions to this public health crisis and will train the next generation of leaders in the field. The Institute is supported by an organizational structure that provides internal oversight and external guidance and focuses activities across six cores: 1) research, 2) education and training, 3) community engagement, 4) policy, 5) implementation, and 6) data and methods; and across six pillars: firearm-related suicide, firearm-related intimate partner violence, community violence, unintentional shootings, police shootings, and mass/school violence.

A Lead/Senior Statistician is sought to work closely with the team in the Institute to support research on firearm and related violence prevention and conduct research data analysis. The successful candidate will specialize in quantitative behavioral science and work with IFIP Data and Methods Core Leads and Principal Investigators of research projects. They will conduct analyses to further the research mission of the Institute's research projects including the Community Firearm Violence Prevention Network, which will include data analysis for Network research projects and analysis of combined Network data. This role will also require oversight, management and linkage of Network research data.

Specific tasks performed will include:

• Writing programs to clean data and perform statistical analysis in SAS, Stata, R, and/or Python.
• Perform statistical analyses using a variety of statistical models and methods, including generalized linear models (e.g., linear, logistic, and count regression), survival analyses, mixed models, and machine learning techniques.
• Perform cleaning and documentation of data generated from Institute studies or studies run by Institute investigators, including the Community Firearm Violence Prevention Network studies; these may include primary data, as well as data from large databases and complex survey samples.
• Contribute to study design decisions, including sample size justification and analytic approach.
• Documentation and presentation of analytic results.
• Creating high quality data visualizations for data briefs, manuscripts, or presentations.
• Procuring external data sources needed to supplement studies (e.g., publicly available data from the census, CDC WONDER, ICPSR, or other sources).
• Facilitate project management for multi-investigator studies by preparing agendas and occasionally leading bi-weekly meetings, tracking action items, and organizing data-retreat sessions to keep deliverables on time.
• Translate study protocols into REDCap survey instruments, designing questionnaire logic, branching rules, and validation checks to ensure clean, analysis-ready exports.
• Operate in a data-manager capacity, continuously monitoring live survey data, troubleshooting participant or platform issues in real time, and maintaining rigorous version control across successive survey waves.
• When appropriate co-author manuscripts and technical briefs by drafting Methods/Results sections and summarizing statistical findings.
• Provide hands-on mentorship to undergraduate research assistants on analytic workflows, science communication, and research processes.

Master's degree in Statistics, Public Health (Biostatistics, Epidemiology, Health Services), or related field.

3-5 years of relevant work experience is required for the Senior level position, and 5-8 years of relevant work experience is required for the Lead level position.

Highly motivated, organized, autonomous person with excellent multi-tasking ability and record-keeping.

Must be able to program, manage data, and conduct statistical analyses using statistical software packages such as R, SAS, and/or Stata.

Demonstrated data management skills and experience preparing data for analysis.

Solid grounding in statistical theory and application to behavioral science, and willingness to learn and apply new methods and approaches.

Excellent communication skills, both written and verbal.

Exceptional ability to independently prepare correspondence (especially with e-mail messages) and write/edit/produce reports.

Professional demeanor and excellent interpersonal skills

Ability to work and communicate effectively with a multidisciplinary team.

PhD degree in Statistics, Public Health (Biostatistics, Epidemiology, Health Services), or related field is preferred.

Experience with complex survey samples, and administrative and clinical claims data.

Experience working with team science groups to meet a common goal.

This position is for a hybrid work schedule of both in-person and remote work with 2 days of on campus work expected each week.